06.11.2020 Microsoft 365/Power Platform Day 2020 In this workshop, I would like explain the way that we used in our real project. The smart helmet. Here we get information from different sensors and GPS and we see in real time on POWER BI.
Precision is the percent of identified classifications that were correct. If my model identified 100 images to be heels and only 90 of those images were actually heels, it would have a precision of 90%.
Recall is the percent of actual classifications that were correct. In other words, if my model identified 80 images to be heels but there were actually 100 total images of heels in the training data, it would have a recall of 80%.
AP is an overall measure of the model’s performance. It averages the precision of the model over different probability thresholds.